Plot for estimated treatment effect for SensIAT_fulldata_model objects

The horizontal and vertical axes represent the sensitivity parameter alpha for the control and treatment groups, respectively. The contour plot shows the estimated treatment effect at each combination of alpha values.

Usage

# S3 method for class 'SensIAT_fulldata_model'
autoplot(object, time, include.rugs = NA, ...)

Arguments

object

A SensIAT_fulldata_model object.

time

Time at which to plot the estimates.

include.rugs

If TRUE, adds rugs indicating the locations where the sensitivity was evaluated to the plot. If FALSE, no rugs are added. If NA, rugs are added only if the number of distinct values of alpha_control and alpha_treatment is less than or equal to 10.

...

Additional arguments passed to predict.

Value

A ggplot2 object.

Examples

# \donttest{
full.object <-
    fit_SensIAT_fulldata_model(
        data = SensIAT_example_fulldata,
        trt = Treatment_group == 'treatment',
        outcome_modeler = SensIAT_sim_outcome_modeler,
        id = Subject_ID,
        outcome = Outcome,
        time = Time,
        knots = c(60, 260, 460),
        alpha = c(-0.6, -0.3, 0, 0.3, 0.6)
    )
ggplot2::autoplot(full.object, time = 180)

# }